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学生心理健康聊天机器人的机会,需求和风险:以用户为中心的多方法方法方法

Daniel Reichenpfader¹, Lorenz Affolter², Elia Gabarron³

¹Institute for Patient-Centered Digital Health, Bern University of Applied Sciences, Bern, Switzerland.

Studies in health technology and informatics

|May 6, 2025

概括

针对瑞士大学生的一款新的心理健康聊天机器人可以减少耻辱感并改善获得支持的机会. 然而,道德保障和谨慎的设计对于解决数据安全等风险至关重要,并确保它补充现有服务.

科学领域:

数字心理健康数字心理健康
高等教育的学生支持.
人与计算机的互动.

背景情况:

在大学生中越来越多的心理健康挑战.
耻辱和对专业支持的有限访问阻碍了寻求帮助的行为.
需要创新的解决方案来支持学生的福祉.

研究的目的:

为瑞士大学生探索基于聊天机器人的心理健康应用程序的可行性.
确定与此类应用相关的机会,要求和风险.
为学生提供有效的数字心理健康工具的开发提供信息.

主要方法:

与学生辅导员,管理人员和学生代表进行半结构面试.
与关键利益相关者举行需求工程研讨会.
定性数据分析以确定主题和需求.

主要成果:

聊天机器人有潜力减少耻辱,提高学生心理健康的可访问性.
关键要求包括易于访问,基于证据的内容和应急响应功能.
确定的风险包括数据安全问题,有害建议的可能性和用户过度依赖.

结论:

精心设计的聊天机器人可以成为现有的学生心理健康支持系统的宝贵补充.
伦理考虑,强大的设计和与人类支持的整合对于成功实施至关重要.
解决已识别的风险对于最大限度地发挥聊天机器人干预对学生心理健康的益处至关重要.

关键词:

心理健康心理健康聊天机器人聊天机器人高等教育高等教育移动应用程序移动应用程序要求工程需要工程.以用户为中心的设计

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